Suchergebnisse

In recent years, several popular social media platforms have launched freeform custom gender fields. This decision reconstitutes gender categories beyond an oppressive binary only permitting "males" and "females." In this work, we uncover many different user-facing gender category design strategies within the social media ecosystem, ranging from custom gender options (on Facebook, Google+, and Pinterest) to the absence of gender fields entirely (on Twitter and LinkedIn). To explore how gender is baked into platform design, this article investigates the 10 most popular English-speaking social media platforms by performing recorded walkthroughs from two different subject positions: (1) a new user registering an account, and (2) a new advertiser creating an ad. We explore several different spaces in social media software where designers commonly program gender—sign-up pages, profile pages, and advertising portals—to consider (1) how gender is made durable through social media design, and (2) the shifting composition of the category of gender within the social media ecosystem more broadly. Through this investigation, we question how these categorizations attribute meaning to gender as they materialize in different software spaces, along with the recursive implications for society. Ultimately, our analysis reveals how social media platforms act as intermediaries within the larger ecosystem of advertising and web analytics companies. We argue that this intermediary role entrusts social media platforms with a considerable degree of control over the generation of broader categorization systems, which can be wielded to shape the perceived needs and desires of both users and advertising clients.

Most content moderation approaches in the United States rely on criminal justice models that sanction offenders via content removal or user bans. However, these models write the online harassment targets out of the justice-seeking process. Via an online survey with US participants ( N = 573), this research draws from justice theories to investigate approaches for supporting targets of online harassment. We uncover preferences for banning offenders, removing content, and apologies, but aversion to mediation and adjusting targets' audiences. Preferences vary by identities (e.g. transgender participants on average find more exposure to be undesirable; American Indian or Alaska Native participants on average find payment to be unfair) and by social media behaviors (e.g. Instagram users report payment as just and fair). Our results suggest that a one-size-fits-all approach will fail some users while privileging others. We propose a broader theoretical and empirical landscape for supporting online harassment targets.

After relationship breakups, people must make difficult decisions about whether and how to convey this change in a networked environment. To understand and characterize behaviors around breakup disclosures, we analyzed survey responses from 119 US Facebook users who reported experiencing a recent breakup. Using mixed methods, we find that those perceiving Facebook as a more efficient disclosure medium are more likely to announce breakups. We show how media ideologies around Facebook breakup disclosures vary; yet people assume others hold similar beliefs about what is appropriate. We contribute to self-disclosure and online identity literature by identifying two new ways people engage in disclosure and self-presentation on social media: announcements, which highlight how social media can serve as efficient one-to-many disclosure sources, and private status change behaviors, a reflexive means of self-presentation. Understanding breakup disclosures provides insight into designing social media to better enable users to find support during difficult life transitions.

Social media users create folk theories to help explain how elements of social media operate. Marginalized social media users face disproportionate content moderation and removal on social media platforms. We conducted a qualitative interview study (
n
= 24) to understand how marginalized social media users may create folk theories in response to content moderation and their perceptions of platforms' spirit, and how these theories may relate to their marginalized identities. We found that marginalized social media users develop folk theories informed by their perceptions of platforms' spirit to explain instances where their content was moderated in ways that violate their perceptions of how content moderation should work in practice. These folk theories typically address content being removed despite not violating community guidelines, along with bias against marginalized users embedded in guidelines. We provide implications for platforms, such as using marginalized users' folk theories as tools to identify elements of platform moderation systems that function incorrectly and disproportionately impact marginalized users.